Title :
Hardware-accelerated address-event processing for high-speed visual object recognition
Author :
Hofstätter, Michael ; Litzenberger, Martin ; Matolin, Daniel ; Posch, Christoph
Author_Institution :
AIT Austrian Inst. of Technol. GmbH, Vienna, Austria
Abstract :
This paper presents a hardware implementation for high-speed, event-based data processing. A full-custom Address-Event (AER) processing system (GAEP) features a 10ns-resolution 33M/5.125M events·s-1 peak/sustained event rate sensor data interface for precision time-stamping of asynchronous sensor data and implements hardware-accelerated event pre-processing including rate dependent IRQ generation and address masking for ROI/RONI. The pre-processing functions are implemented in dedicated hardware and operate without loading the actual processor device, a SPARC-compatible general-purpose micro-processor. The complete SoC is implemented in 0.18μm standard CMOS technology. We present a camera system comprising the AER processor and a bio-inspired dynamic vision sensor in an exemplary high-speed vision application related to shape detection / object recognition. Relevant details of the system architecture and performance results characterizing the vision system in a real-world machine vision application are presented.
Keywords :
CMOS integrated circuits; cameras; computer vision; image resolution; microprocessor chips; object detection; object recognition; system-on-chip; AER; GAEP; ROI-RONI address masking; SPARC-compatible general-purpose microprocessor; SoC; asynchronous sensor data precision time-stamping; bioinspired dynamic vision sensor; camera system; event rate sensor data interface; event-based data processing; full-custom address-event processing system; hardware implementation; hardware-accelerated address-event processing; hardware-accelerated event pre-processing; high-speed vision application; high-speed visual object recognition; rate dependent IRQ generation; real-world machine vision application; shape detection-object recognition; size 0.18 mum; standard CMOS technology; Circuits and systems; Hardware; Histograms; Machine vision; Robot sensing systems; Shape; Voltage control;
Conference_Titel :
Electronics, Circuits and Systems (ICECS), 2011 18th IEEE International Conference on
Conference_Location :
Beirut
Print_ISBN :
978-1-4577-1845-8
Electronic_ISBN :
978-1-4577-1844-1
DOI :
10.1109/ICECS.2011.6122221